Data & Analytics
Enterprise-ready data solutions that scale with your goals. Drive business impact with modular, platform-agnostic data solutions tailored to your unique needs. These capabilities span strategy, architecture, integration, analytics, and AI—empowering teams to choose the right mix of services and partners.
- Accelerate impact with a data strategy designed for AI readiness. Turn data into a strategic asset with a clear, actionable path to solving high-priority business challenges.
- Data ArchitectureBuild a resilient, modular data foundation that integrates seamlessly with your ecosystem. The result is AI-ready infrastructure so the business can adapt and grow with confidence.
- Data Acquisition & IntegrationUnify enterprise data across cloud and on-prem environments. Orchestrate robust, API-driven integrations from SaaS to legacy systems within a composable, AI-ready architecture.
- Business IntelligenceEmpower smarter, faster decision-making built for usability and adoption. Drive innovation with conversational tools and NLP capabilities that make insights easier to access and act on in the enterprise.
- Data Science & AIApply advanced analytics and AI in scalable environments to solve mission-critical challenges. Activate value across the enterprise with solutions built for impact—not experimentation.
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Reveal the Unknown with Data & Analytics
Change the game, then squash the competition. Your data is your driver down a road that only you can travel. Leverage that journey to its fullest potential.
Our Data & Analytics Deep Dive
Paid Media Analyzer Prototype
Built during UDig’s internal Airwave program, this prototype delivers automated Google Ads intelligence that pinpoints what’s working and what’s not, freeing teams from manual reporting and boosting ROI through faster, data-driven decisions.
- Data & Analytics - Unlocking Value: A Practical Playbook for Centralized vs. Federated Data Services
- Data & Analytics - How to Blend Software and Data Engineers on a Single Team | The Jam Session
- Data & Analytics - How Business Leaders Can Evaluate the Productivity of their Data Engineering Teams